
Piera Oria

El Consejo de Derechos Humanos (CDH) es el cuerpo intergubernamental del sistema de las Naciones Unidas responsable de la promoción y protección de todos los derechos humanos en todo el mundo. El HRC se reúne en sesión ordinaria tres veces al año, en marzo, junio y septiembre. La La Oficina del Alto Comisionado para los Derechos Humanos (ACNUDH) es la secretaría del Consejo de Derechos Humanos.
Debate y aprueba resoluciones sobre cuestiones mundiales de derechos humanos y el estado de los derechos humanos en determinados países
Examina las denuncias de víctimas de violaciones a los derechos humanos o las de organizaciones activistas, quienes interponen estas denuncias representando a lxs víctimas.
Nombra a expertos independientes que ejecutarán los «Procedimientos Especiales» revisando y presentado informes sobre las violaciones a los derechos humanos desde una perspectiva temática o en relación a un país específico
Participa en discusiones con expertos y gobiernos respecto a cuestiones de derechos humanos.
A través del Examen Periódico Universal, cada cuatro años y medio, se evalúan los expedientes de derechos humanos de todos los Estados Miembro de las Naciones Unidas
Se está llevarando a cabo en Ginebra, Suiza del 30 de junio al 17 de julio de 2020.
AWID trabaja con socios feministas, progresistas y de derechos humanos para compartir conocimientos clave, convocar diálogos y eventos de la sociedad civil, e influir en las negociaciones y los resultados de la sesión.
Nous avons toujours veillé à ce que nos Forums soient développés conjointement avec nos partenaires, nos mouvements et nos groupes prioritaires.
Pour cette édition 2020, nous visons à approfondir et renforcer cet esprit et cette pratique de co-création et de collaboration. Nous reconnaissons également la nécessité d’améliorer l’équilibre entre l’inclusion de nombreuses voix et les expériences, tout en laissant aux participant-e-s et au personnel la possibilité de respirer, faire une pause et profiter de certains temps d’arrêt.
Ce Forum sera différent des diverses façons suivantes:
Absolutely, we want to hear about your experience with resourcing.
Este año honramos a 19 defensoras de la región de América Latina y el Caribe. De ellas, 16 fueron asesinadas, incluyendo a 6 periodistas y 4 defensoras LGBTQI. Únete a nosotras en la conmemoración de sus vidas y trabajo, compartiendo los memes aquí incluidos con tus colegas, amistades y redes; y tuiteando las etiquetas #WHRDTribute y #16Días.
Por favor, haz click en cada imagen de abajo para ver una versión más grande y para descargar como un archivo.
Veuillez visiter la page « Financement » pour obtenir des idées et vous inspirer sur les façons dont financer votre participation au prochain Forum, y compris pour vous informer sur le soutien limité que l’AWID sera en mesure de fournir.
El financiamiento externo incluye donaciones y otras formas de financiamiento provenientes de fundaciones filantrópicas, gobiernos, donantes bilaterales, multilaterales y corporativos y de donantes individuales, ya sea que estos se encuentren radicados en tu país o en el exterior. Excluye aquellos recursos que las agrupaciones, organizaciones o movimientos generan de manera autónoma como, por ejemplo, cuotas de membresía, contribuciones voluntarias del personal, afiliadxs o adherentes, colectas comunitarias, alquiler de espacios propios o venta de servicios. Para consultar más referencias, en la propia encuesta se encuentran incluidas las definiciones de los distintos tipos de financiamiento y descripciones breves de distintos tipos de donantes.
7 Women Human Rights Defenders from across the South and Southeast Asian region are honored in this year’s Online Tribute. These defenders have made key contributions to advancing human and women’s rights, indigenous people’s rights, and the right to education. These WHRDs were lawyers, women’s rights activists, scholars, and politicians. Please join AWID in commemorating t their work and legacy by sharing the memes below with your colleagues, networks and friends and by using the hashtags #WHRDTribute and #16Days.
Please click on each image below to see a larger version and download as a file
Des partenaires mondiaux et régionaux nous ont déjà communiqué certaines idées de rassemblements préalables au Forum, dont nous vous ferons part sous peu.
Si vous projetez d’organiser une réunion avant le Forum, n’hésitez pas à nous le faire savoir !
Plusieurs belles choses ont émergé du Forum des féminismes noires (BFF, selon son acronyme anglais), qui avait été organisé en 2016 par un Groupe consultatif et financé par l’AWID. À l’issue de ce BFF, certaines organisations indépendantes ont ainsi pu voir le jour, telles ques des organisations féministes noires au Brésil. Bien que le BFF n’aura pas lieu cette année, nous nous engageons à partager certains apprentissages clés avec toute personne intéressée à poursuivre le travail d'organisation féministe noire.
Nous Sommes la Solution is a rural women 's movement for food sovereignty in West Africa. Founded originally as a campaign against hyper-industrialized agriculture, Nous Sommes la Solution has grown into a movement of more than 500 rural women’s associations from Burkina Faso, Senegal, Ghana, Gambia, Guinea Bissau, Mali and Guinea.
Together, this women-led movement is building and strengthening food and seed sovereignty across West Africa. They feed communities, strengthen local economies, amplify the knowledge of women farmers and mitigate the devastating effects of climate change through agroecological practices. They also organize workshops, forums and community radio broadcasts to share their messages, their traditional knowledges and agroecological practices across rural communities.
In collaboration with universities and public research centers, Nous Sommes la Solution works towards restoring traditional Indigenous varieties of rice (a staple food in West Africa) and promoting local food economies based on agroecological principles, influencing national policy-making, all the while supporting women in creating farming associations and collectively owning and managing farmland.
L’AWID est engagée en faveur de la justice linguistique, et nous regrettons que l’enquête WITM ne puisse, à l’heure actuelle, être accessible dans d’autres langues. Cependant, si vous avez besoin d’une aide à la traduction ou que vous souhaitez participer à l’enquête dans une autre langue, n’hésitez pas à nous contacter à l’adresse witm@awid.org.
Before starting the WITM research methodology, it is important you prepare the background and know what to expect.
With AWID’s WITM research methodology, we recommend that you first review the entire toolkit.
While this toolkit is designed to democratize WITM research, there are capacity constraints related to resources and research experience that may affect your organization’s ability use this methodology.
Use the “Ready to Go?” Worksheet to assess your readiness to begin your own WITM research. The more questions you can answer on this worksheet, the more prepared you are to undertake your research.
Before beginning any research, we recommend that you assess your organization’s connections and trust within your community.
In many contexts, organizations may be hesitant to openly share financial data with others for reasons ranging from concerns about how the information will be used, to fear of funding competition and anxiety over increasing government restrictions on civil society organizations.
As you build relationships and conduct soft outreach in the lead-up to launching your research, ensuring that your objectives are clear will be useful in creating trust. Transparency will allow participants to understand why you are collecting the data and how it will benefit the entire community.
We highly recommend that you ensure data is collected confidentially and shared anonymously. By doing so, participants will be more comfortable sharing sensitive information with you.
We also recommend referring to our “Ready to Go?” Worksheet to assess your own progress.
Le 14e Forum international de l'AWID aura lieu du 20 au 23 septembre 2021 à Taipei, Taiwan.
The estimated time to complete the survey is 30 minutes.
This section will guide you on how to ensure your research findings are representative and reliable.
In this section:
- Collect your data
1. Before launch
2. Launch
3. During launch- Prepare your data for analysis
1. Clean your data
2. Code open-ended responses
3. Remove unecessary data
4. Make it safe- Create your topline report
- Analyze your data
1. Statistical programs
2. Suggested points for analysis
If you also plan to collect data from applications sent to grant-making institutions, this is a good time to reach out them.
When collecting this data, consider what type of applications you would like to review. Your research framing will guide you in determining this.
Also, it may be unnecessary to see every application sent to the organization – instead, it will be more useful and efficient to review only eligible applications (regardless of whether they were funded).
You can also ask grant-making institutions to share their data with you.
Your survey has closed and now you have all this information! Now you need to ensure your data is as accurate as possible.
Depending on your sample size and amount of completed surveys, this step can be lengthy. Tapping into a strong pool of detail-oriented staff will speed up the process and ensure greater accuracy at this stage.
Also, along with your surveys, you may have collected data from applications sent to grant-making institutions. Use these same steps to sort that data as well. Do not get discouraged if you cannot compare the two data sets! Funders collect different information from what you collected in the surveys. In your final research report and products, you can analyze and present the datasets (survey versus grant-making institution data) separately.
There are two styles of open-ended responses that require coding.
Questions with open-ended responses
For these questions, you will need to code responses in order to track trends.
Some challenges you will face with this is:
If using more than one staff member to review and code, you will need to ensure consistency of coding. Thus, this is why we recommend limiting your open-ended questions and as specific as possible for open-ended questions you do ask.
For example, if you had the open-ended question “What specific challenges did you face in fundraising this year?” and some common responses cite “lack of staff,” or “economic recession,” you will need to code each of those responses so you can analyze how many participants are responding in a similar way.
For closed-end questions
If you provided the participant with the option of elaborating on their response, you will also need to “up-code” these responses.
For several questions in the survey, you may have offered the option of selecting the category “Other” With “Other” options, it is common to offer a field in which the participant can elaborate.
You will need to “up-code” such responses by either:
Analyze the frequency of the results
For each quantitative question, you can decide whether you should remove the top or bottom 5% or 1% to prevent outliers* from skewing your results. You can also address the skewing effect of outliers by using median average rather than the mean average. Calculate the median by sorting responses in order, and selecting the number in the middle. However, keep in mind that you may still find outlier data useful. It will give you an idea of the range and diversity of your survey participants and you may want to do case studies on the outliers.
* An outlier is a data point that is much bigger or much smaller than the majority of data points. For example, imagine you live in a middle-class neighborhood with one billionaire. You decide that you want to learn what the range of income is for middle-class families in your neighborhood. In order to do so, you must remove the billionaire income from your dataset, as it is an outlier. Otherwise, your mean middle-class income will seem much higher than it really is.
Remove the entire survey for participants who do not fit your target population. Generally you can recognize this by the organizations’ names or through their responses to qualitative questions.
To ensure confidentiality of the information shared by respondents, at this stage you can replace organization names with a new set of ID numbers and save the coding, matching names with IDs in a separate file.
With your team, determine how the coding file and data should be stored and protected.
For example, will all data be stored on a password-protected computer or server that only the research team can access?
A topline report will list every question that was asked in your survey, with the response percentages listed under each question. This presents the collective results of all individual responses.
Tips:
- Consistency is important: the same rules should be applied to every outlier when determining if it should stay or be removed from the dataset.
- For all open (“other”) responses that are up-coded, ensure the coding matches. Appoint a dedicated point person to randomly check codes for consistency and reliability and recode if necessary.
- If possible, try to ensure that you can work at least in a team of two, so that there is always someone to check your work.
Now that your data is clean and sorted, what does it all mean? This is the fun part where you begin to analyze for trends.
Are there prominent types of funders (government versus corporate)? Are there regions that receive more funding? Your data will reveal some interesting information.
Smaller samples (under 150 responses) may be done in-house using an Excel spreadsheet.
Larger samples (above 150 responses) may be done in-house using Excel if your analysis will be limited to tallying overall responses, simple averages or other simple analysis.
If you plan to do more advanced analysis, such as multivariate analysis, then we recommend using statistical software such as SPSS, Stata or R.
NOTE: SPSS and Stata are expensive whereas R is free.
All three types of software require staff knowledge and are not easy to learn quickly.
Try searching for interns or temporary staff from local universities. Many students must learn statistical analysis as part of their coursework and may have free access to SPSS or Stata software through their university. They may also be knowledgeable in R, which is free to download and use.
• 2 - 3 months
• 1 or more research person(s)
• Translator(s), if offering survey in multiple languages
• 1 or more person(s) to assist with publicizing survey to target population
• 1 or more data analysis person(s)
• List of desired advisors: organizations, donors, and activists
• Optional: an incentive prize to persuade people to complete your survey
• Optional: an incentive for your advisors
Survey platforms:
• Survey Monkey
• Survey Gizmo (Converts to SPSS for analysis very easily)
Examples:
• 2011 WITM Global Survey
• Sample of WITM Global Survey
• Sample letter to grantmakers requesting access to databases
Visualising Information for Advocacy:
• Cleaning Data Tools
• Tools to present your data in compelling ways
• Tutorial: Gentle Introduction to Cleaning Data